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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in
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information obtained with different methods to generate a full picture of the aerosol properties Evaluating the results in terms of applications to satellite cal/val and/or model evaluation Publishing results
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